I'm a student at Stanford, studying artificial intelligence as well as human minds, behavior, and language. I'm mainly centered around natural language processing (NLP), but also exploring related fields. I completed a B.S. in Symbolic Systems (≈ cognitive science) in spring 2018, and am entering the second year of a coterminal M.S. in Computer Science.
My current research projects use linguistic and social network analysis to better understand people's interactions with each other. Currently I'm a Summer@EPFL student in the Data Science Lab with professor Robert West. Last summer I participated in CURIS with the SNAP Group, and I've worked with University of Michigan professor David Jurgens. I've been lucky to receive small grants for conference travel and crowdsourcing from SymSys and Stanford Undergraduate Research and Advising.
I'm very involved with Stanford's SymSys Program as a board member of the student society.1 I'm also passionate about education, especially when it comes to increasing diversity in science, technology, engineering, and math (STEM).2
I publish under the name L. Lucy.
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning.
Li Lucy, Jon Gauthier.
Accepted to RoboNLP @ ACL 2017.
Widely-used word embeddings such as GloVe and word2vec may be deficient for predicting some types of meaning. Link.
Here are some of my course projects:
Paying Attention to SQuAD: Exploring Bidirectional Attention Flow
Heather Blundell, Lucy Li
This reimplementation of BiDAF was pretty close to the original paper: 76.037 F1 and 66.663 EM. Link.
Giving Gold: Understanding Appreciation in Reddit Communities
Julia Mendelsohn, Lucy Li
We investigated gilding behavior across subreddits. Link
Historical and Modern Image-to-Image Translation with Generative Adversarial Networks
Vinson Luo, Michael Straka, Lucy Li
Since everyone is doing GANs stuff these days... we used CycleGANs to colorize historical images. Link.
The Effect of Speech Disfluencies on Turn-Taking
Lucy Li, Kartik Sawhney, Divya Saini
We predicted end-of-turns in spoken conversations using filler words and discourse markers. Link.
A Resource Rational Analysis of Memory Use in Bayesian Updating
Lucy Li, George Pakapol Supaniratisai, Stephanie Zhang
If noise-less memories are costly, how should one update one’s beliefs when given new observations? We built a hierarchical Bayesian model of memory. Link.
DominAI: An AI Player for Dominoes
Guillermo Angeris, Lucy Li
We created an agent using game playing and sampling algorithms to beat opponents at four-player dominoes. Link.